marf.FeatureExtraction.LPC
Class LPC

java.lang.Object
  |
  +--marf.FeatureExtraction.FeatureExtraction
        |
        +--marf.FeatureExtraction.LPC.LPC

All Implemented Interfaces:

StorageManager

public class LPC

extends FeatureExtraction

Class LPC

Implements Linear Predictive Coding

$Header: /cvsroot/marf/marf/src/marf/FeatureExtraction/LPC/LPC.java,v 1.26.2.1 2003/02/16 18:26:46 mokhov Exp $

Author:

Ian Clement

Fields inherited from class marf.FeatureExtraction.FeatureExtraction

adFeatures, oPreprocessing

Constructor Summary

LPC(Preprocessing poPreprocessing)
LPC Constructor

Method Summary

static double	autocorrelation(double[] input, int x) Implements the least-square autocorrelation method
static void	DoLPC(double[] input, double[] output, double[] error, int p) Does LPC algorithm NOTE: input is assumed to be windowed, ie: input.length = N
void	dump() Not Implemented
boolean	extractFeatures() LPC Implementation of extractFeatures()
void	restore() Not Implemented

Methods inherited from class marf.FeatureExtraction.FeatureExtraction

getFeaturesArray, hamming, hamming

Methods inherited from class java.lang.Object

, clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LPC

public LPC(Preprocessing poPreprocessing)

LPC Constructor

Parameters:

poPreprocessing - Preprocessing module reference

Method Detail

extractFeatures

public final boolean extractFeatures()
                              throws FeatureExtractionException

LPC Implementation of extractFeatures()

Overrides:

extractFeatures in class FeatureExtraction

Returns:

true if features were extracted, false otherwise

DoLPC

public static final void DoLPC(double[] input,
                               double[] output,
                               double[] error,
                               int p)
                        throws FeatureExtractionException

Does LPC algorithm NOTE: input is assumed to be windowed, ie: input.length = N

Parameters:

input - windowed part of incoming sample

output - resulting LPC coefficiencies

error - output LPC error

p - number of poles

autocorrelation

public static final double autocorrelation(double[] input,
                                           int x)

Implements the least-square autocorrelation method

Parameters:

input - windowed input signal

x - coefficient number

Returns:

double - correlation number

dump

public void dump()
          throws java.io.IOException

Not Implemented

Following copied from interface: marf.Storage.StorageManager

Throws:

java.io.IOException -

restore

public void restore()
             throws java.io.IOException

Not Implemented

Following copied from interface: marf.Storage.StorageManager

Throws:

java.io.IOException -